MassDOT tested machine learning combined with GIS mapping to build a model that identifies roads with the highest concentrations of serious crashes, known as a High-Injury Network (HIN).

Presented at the 2024 MassDOT Transportation Innovation Conference, this approach applied machine learning alongside geographic information system (GIS) data to develop a High-Injury Network model for traffic safety planning. The HIN model is used to identify road segments where interventions could have the greatest impact on reducing serious injuries and fatalities. The approach represents a shift described at the conference as moving toward 'more predictive and preventative approaches in traffic management.' The extent of operational deployment beyond the conference presentation is not confirmed by available sources.